EAGER: Tensor500: A Streaming Analytics High Performance Computing Benchmark

Boise State University, Boise ID

Investigators

Abstract

Large-scale data analytics is essential to the National Strategic Computing Initiative (NSCI) and NSF's scientific discovery mission. Data-intensive supercomputing applications are increasingly important for handling high-performance computing workloads. However, current benchmarks and performance metrics do not provide useful information on suitability of computing systems for data-intensive applications. This project will develop a new benchmark that can be used to assess the performance of new system implementations aimed at this important class of applications. The research effort will produce a new Stream500 benchmark, complementary to Graph500, that replicates streaming analytics workload. The current benchmark capabilities will be expanded by enabling the exiting web-based infrastructure to accept submissions for multiple benchmarks. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.